Associate Product Manager

About the Role

The Data & AI Product team develops and manages data and AI/ML products that drive intelligent decisions, personalization, and actionable insights across Tesco. This role will contribute to building and improving customer data products, including insights datasets, segmentation capabilities, and audience filters, used to understand and engage customers.

Key Responsibilities

• Product Delivery & Execution
• Support the Product Manager in delivering improvements across Customer & Personalisation products (customer segments, filters, profile data, insight capabilities).
• Translate business requirements and customer needs into user stories, acceptance criteria, and prioritized backlog items.
• Support sprint planning, backlog refinement, and delivery activities with engineering and analytics teams.
• Track delivery progress and identify risks, dependencies, and improvement opportunities.
• Product Discovery & User Understanding
• Understand how stakeholders use Customer Intelligence and Personalisation products for decision-making and personalized customer experiences.
• Participate in user research, stakeholder interviews, and discovery activities.
• Identify pain points and opportunities to improve data usability, accessibility, and adoption.
• Support the validation of new ideas through research, analysis, and experimentation.
• Data Products & Governance
• Support the ongoing management of behavioral customer segments, audience filters, and related customer datasets.
• Help ensure products meet standards for data quality, governance, and usability.
• Work with engineering and analytics teams to understand data flows, dependencies, and product performance.
• Assist with monitoring product adoption and identifying opportunities to increase customer and colleague value.
• Stakeholder Collaboration
• Build relationships with colleagues across Customer, Marketing, Analytics, Data Science, and Technology teams.
• Support communication of product updates, priorities, and delivery plans to stakeholders.
• Gather and document requirements, balancing business needs with technical considerations.
• Continuous Improvement
• Contribute to product roadmaps and planning activities.
• Support testing, experimentation, and MVP delivery for new capabilities.
• Develop product management expertise through partnership with Product Managers and senior product leaders.

Requirements & Tech Stack

• Product & Delivery
• Experience in a product, data, analytics, or technology-focused role.
• Strong organizational skills and ability to manage competing priorities.
• Understanding of Agile delivery principles and backlog management.
• Experience gathering requirements and translating them into deliverable outcomes.
• Data & Analytics
• Interest in customer data, personalization, analytics, or insight products.
• Ability to interpret data and use evidence to support decision-making.
• Understanding of how data products create value for users and stakeholders.
• Comfortable working with technical teams and learning new data concepts.
• Stakeholder Management
• Strong communication and collaboration skills.
• Ability to work effectively with technical and non-technical stakeholders.
• Curious mindset with a willingness to learn and challenge constructively.
• Desirable
• Experience with customer data, audience segmentation, or personalization products.
• Experience using Jira, Aha!, or Confluence.
• Understanding of retail, loyalty, CRM, or customer marketing domains.
• Exposure to data platforms, analytics tooling, or AI-enabled products.

Qualifications

• Customer Focus
• Curiosity & Continuous Learning
• Product Discovery & Delivery
• Data Literacy
• Stakeholder Management
• Communication & Collaboration
• Prioritization & Organisation
• Problem Solving
• Agile Ways of Working
• Analytical Thinking
• Ownership & Accountability